ABCDEFGHIJKLMNOPQRSTUVWXYZABACADAEAFAGAHAIAJAKALAMANAO
1
Team HTeam DCNomAffiliation1.11.21.31.42.12.22.32.42.52.62.72.82.92.102.112.123.13.24.14.24.3Retard HNote HPerf DCScore DCRap/Methodo DCRetard DCNote DCNote CoursRattrapage
2
81Mohamed Ali OulhajData Science111110.75111111111110.50.750.5116.093.76%5.09611.113.5
3
91Romain LentgenData Science1110.751111110111110.750.2510.75115.193.76%5.09611.113.1
4
261Bryan D'aversaData Science11111101111110.75111010.5113.993.76%5.09611.112.5
5
442Thibault GroueixMVA10.2510.75111111110.7511110.511116.597.62%8.31816.316.4
6
642Alexandre HannebelleMVA111111111111111110.7510.75118.297.62%8.31816.317.3
7
693Léo BoulocMVA11111111111111110.750.2510113.796.66%7.33815.314.5
8
184Mously DiawData Science10.7510.750.7500.5111000000000.25005.793.50%4.93610.98.3
9
564Svetlana SMAGINAData Science1110.750.750.7510.7511100000000006.993.50%4.93610.98.9OK => 10
10
515Malo HuardMath aleatoire11111111111111111111120.094.38%5.49510.515.2
11
76Frank CharrasMVA111111111111111110.510014.997.54%8.22715.215.1
12
177Halaleh KamariISG1110.750.75101110011000.2501009.210.00%0.0066.07.6
13
437Maxence OryISG1000.75110011000100000.5004.910.00%0.0066.05.5
14
38Jamal GourindaMVA111111111111111110.7511119.096.12%6.83713.816.4
15
308Ali-Taiga AliMVA11111111111110.751110.7511118.896.12%6.83713.816.3
16
409Guillaume SalhaMVA1110.751111111111111110.75119.094.90%5.85712.915.9
17
4010Gautier AppertMVA1110.751111111111111110.75119.094.64%5.67712.715.8
18
1111Pierre-Emmanuel ReyMASH10.2510.750.7511110.751110.75111110.75117.490.50%3.5058.512.9
19
1211Estephe ArnaudMASH11111111111110.751110.510.75117.190.50%3.5058.512.8
20
6711Pierre ChemlaMASH11111111111110.751110.750.50.25115.790.50%3.5058.512.1
21
7912Charles Guille-EscuretMVA10111111110.751111110.75111-215.391.48%3.9058.912.1
22
4613Fabrice ZapfackData Science111101111111111010.50.50112.594.56%5.61611.612.1
23
7013Basile CalderanData Science10110.5101101110.7510100.5018.494.56%5.61611.610.0
24
6014Loic DagnasMVA11111111111100.7510.510.510.75115.997.06%7.72916.716.3
25
6214Yassine BEZZAMVA111111111111111110.2510.5115.597.06%7.72916.716.1
26
4915Gurvan L’HostisMVA11111111111111111111120.098.10%8.86917.918.9
27
5115Ronan RiochetMVA11111111111111111111120.098.10%8.86917.918.9
28
6315Arturo RUANO SAN MARTINMVA1111111110.751111111111119.998.10%8.86917.918.9
29
616Cedric SautierMASH1110.750.7511111111111110.750.75118.495.54%6.35915.316.9
30
1016Samy BALAAMASH11111111111111111110.75119.295.54%6.35915.317.3
31
2216Pierre SanneMASH111110.75111111111110.7510.75118.195.54%6.35915.316.7
32
7217Daniel BrooksMVA100.7511111111110.75111110014.979.84%1.4856.510.7
33
4118Alex AuvolatMVA11111111111111110.750.7510.75118.097.34%8.01816.017.0
34
5818Emile EnguehardMVA1111111111111111110.750.75118.897.34%8.01816.017.4
35
2919François DelocheMVA11111111111110.7510.7510.510.75116.998.32%9.121019.118.0
36
4419Fadhel AyedMVA10.2510.75111111110.7511110.511116.598.32%9.121019.117.8
37
5919Lahlou SalemMVA10.25111111111111111111118.898.32%9.121019.119.0
38
4020Lionel Riou-DurandMVA1110.751111111111111110.75119.097.02%7.68815.717.4
39
4421Nathan de LaraMVA10.2510.75111111110.7511110.511116.597.38%8.05816.116.3
40
6521Florian TilquinMVA1110.75010111100.75110110.750113.797.38%8.05816.114.9
41
1322Mathilde RalleMSV10.7510.751101111110.751110.7510114.794.52%5.58914.614.6
42
122Jaime Roquero GimenezMVA11110.750.7510.7510.751110.51010.2510112.394.52%5.58914.613.4
43
522Lilian BessonMVA11111111111111111111120.094.52%5.58914.617.3
44
223Antonin Della NoceMVA11110.75111111111110.750.7510.75117.897.04%7.70815.716.8
45
323Sylvestre RebuffiMVA111111111111111110.7511119.097.04%7.70815.717.4
46
3623Theo SaillantMVA11111101111110.75110.7510.751118.897.04%7.70815.717.3
47
324Alexandre CorradinMVA111111111111111110.7511119.095.50%6.31713.316.2
48
6625Étienne SimonMVA10.251100.7511111110.75111011113.894.08%5.29813.313.6
49
2726Nicolas LegrouxData Science11111110.75110.75111111111119.797.14%7.80815.817.8
50
927Antoine Miech Data Science1110.751111110111110.750.2510.75115.196.62%7.29714.314.7
51
3827Arnaud MussoData Science1010.7511111111111110.7510.5115.796.62%7.29714.315.0
52
1128Sarah ToledanoMASH10.2510.750.7511110.751110.75111110.75117.495.08%5.99713.015.2
53
2028Eden ItahMASH11111111111111111110.75119.295.08%5.99713.016.1
54
3228Aurélie Chekroun MartinotMASH1110.750.75111111110.75111110.75118.695.08%5.99713.015.8
55
7029Polykarpos MeladianosData Science10110.5101101110.7510100.5018.494.48%5.56611.610.0
56
1030Pierre BIOCHEMASH11111111111111111110.75119.295.06%5.97612.015.6
57
2230Amine HadjiMASH111110.75111111111110.7510.75118.195.06%5.97612.015.1
58
3230Mehdi BertheMASH1110.750.75111111110.75111110.75118.695.06%5.97612.015.3
59
3731Felicien BarluetMASH111111111111111110.250.250112.795.78%6.54713.513.1
60
5731Hatim Belyasmine MVA1110.751111111110.7500110.750114.995.78%6.54713.514.2
61
3532Kevin BienvenuMVA10110100111000000.7500.25005.388.62%2.8868.97.1OK => 10
62
4232Aleksander CallebatMVA101100.500111000000.500.75005.788.62%2.8868.97.3not ok
63
1233Dayron CohenMASH11111111111110.751110.510.75117.194.14%5.33712.314.7
64
2033Haik IsaacMASH11111111111111111110.75119.294.14%5.33712.315.8
65
934Eliot BarrilData Science1110.751111110111110.750.2510.75115.195.32%6.17713.214.1
66
1434Mayeul PicardData Science1110.750111011110.750010.2510.25112.095.32%6.17713.212.6
67
2634Timothee BouletData Science11111101111110.75111010.5113.995.32%6.17713.213.5
68
4735Alain SoltaniData Science111111111111111110.2510.75116.396.58%7.25714.315.3
69
3135Arthur PajotMVA101111111111111100.2510.75113.996.58%7.25714.314.1
70
3935Pascal Adam SitbonMVA11111111111111111111120.096.58%7.25714.317.1
71
6236Hugues THOMASMVA111111111111111110.2510.5115.597.26%7.93714.915.2
72
837Wiem GharbiData Science111110.75111111111110.50.750.5116.097.32%7.99816.016.0
73
1637Baptiste RoziereData Science10111111111111110.750.2510.5113.797.32%7.99816.014.9
74
1937Igor KovalData Science1110.751111111111110.750.2510.75115.997.32%7.99816.015.9
75
3738Charles DarmonMASH111111111111111110.250.250112.794.56%5.61712.612.7
76
5738Marin Robert de BeauchampMVA1110.751111111110.7500110.750114.994.56%5.61712.613.8
77
8039Maha ElbayadMVA11110.75101111110.751110.50.7500-49.797.42%8.10917.113.4
78
2140Thomas AnglesMVA110.751111111110.75110.751111119.498.72%9.63918.619.0
79
2840Batiste Le BarsMVA1110.7511111111111110.750.750.75117.698.72%9.63918.618.1
80
4741Arnaud LecoulesData Science111111111111111110.2510.75116.394.78%5.77712.814.5
81
3141Jeremie DonaMVA101111111111111100.2510.75113.994.78%5.77712.813.3
82
4841Sylvain PuyravaudMVA10.251.30.750111110.751001010.250.50.75111.094.78%5.77712.811.9
83
1042Alexis FREMONDMASH11111111111111111110.75119.295.44%6.27713.316.2
84
2242Benoit DesvignesMASH111110.75111111111110.7510.75118.195.44%6.27713.315.7
85
3242Mohamed Ali HamritiMASH1110.750.75111111110.75111110.75118.695.44%6.27713.315.9
86
3043Benslimane MohammedMVA11111111111110.751110.7511118.894.18%5.35712.415.6
87
7343Youness MANSARMVA11111111111110.751110.7511118.894.18%5.35712.415.6
88
7144Gigli LeonardoMVA11111111111110.75111111119.888.74%2.9168.914.4
89
7644Anissa REBZANIMVA101111111111111110.250.750112.088.74%2.9168.910.4
90
1445Johan FerretData Science1110.750111011110.750010.2510.25112.097.60%8.29816.314.1
91
2645Martin DelzantData Science11111101111110.75111010.5113.997.60%8.29816.315.1
92
2845Muriel NahmaniMVA1110.7511111111111110.750.750.75117.697.60%8.29816.317.0
93
2146Genevieve RobinMVA110.751111111110.75110.751111119.496.30%6.99815.017.2
94
2846Kevin ElguiMVA1110.7511111111111110.750.750.75117.696.30%6.99815.016.3
95
7246Pierre de Sainte AgatheMVA100.7511111111110.75111110014.996.30%6.99815.014.9
96
4647Bruno LyData Science111101111111111010.50.50112.595.52%6.33612.312.4
97
7447Sofia HafdaniData Science11110.7511111110.750.751110.50.751117.195.52%6.33612.314.7
98
7347Abdessamad HAMMOUCHEMVA11111111111110.751110.7511118.895.52%6.33612.315.6
99
3848Thai-Chau TruongMVA1010.7511111111111110.7510.5115.797.24%7.91815.915.8
100
6448Ivan NovikovMVA111111111111111110.7510.75118.297.24%7.91815.917.1